Communication breakdown is a challenge for family caregivers of persons living with dementia. We adapted established theory and scales for computer-assisted behavioral coding to characterize caregiver communication for a secondary analysis. We developed verbal, nonverbal, and breakdown coding schemes and established reliability (κ > .85). Within the 221 family caregiving videos analyzed, 55% of exchanges were interactive, 30% were silence, 4% consisted of talking to self or others, and 8% included a breakdown. An average of 2.4 ( = 1.9) breakdowns occurred per observation and were successfully resolved 85% of the time, with 31% being resolved most successfully following only one flag and repair strategy. Caregivers were the primary speakers (67%); their communication preceded most breakdown (65%), and they primarily initiated the repairs after a breakdown (70%). Common repair strategies included clarifications (31%), asking questions (24%), and repeating information (24%). Associations between communication strategies and repair success will provide evidence for caregiver training.
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http://dx.doi.org/10.1177/01939459211062957 | DOI Listing |
Plant Cell Rep
January 2025
Laboratory of Cell & Molecular Biology, Institute of Vegetable Science, Zhejiang University, Hangzhou, China.
A high-throughput sequencing identified 1283 lncRNAs in anthers at different stages in Arabidopsis and their relationship with protein-coding genes and miRNAs during anther and pollen development were analyzed. Long non-coding RNAs (lncRNAs) are important regulatory molecules involved in various biological processes. However, their roles in male reproductive development and interactions with miRNAs remained elusive.
View Article and Find Full Text PDFJ Head Trauma Rehabil
January 2025
Author Affiliations: Monash-Epworth Rehabilitation Research Centre, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia (Prof Ponsford and Drs Spitz, Pyman, Carrier, Hicks, and Nguyen); Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia (Dr Spitz); TIRR Memorial Hermann Research Center Houston, Texas (Drs Sander and Sherer); and H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine & Harris Health System, Houston, Texas (Drs Sander and Sherer).
Objectives: This study aimed to identify outcome clusters among individuals with traumatic brain injury (TBI), 6 months to 10 years post-injury, in an Australian rehabilitation sample, and determine whether scores on 12 dimensions, combined with demographic and injury severity variables, could predict outcome cluster membership 1 to 3 years post-injury.
Setting: Rehabilitation hospital.
Participants: A total of 467 individuals with TBI, aged 17 to 87 (M = 44.
J Geriatr Psychiatry Neurol
January 2025
Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Objective: Traumatic Brain Injury (TBI) may contribute additional complexity to the clinical picture of mild behavioral impairment (MBI). MBI, a behavioral analog to mild cognitive impairment (MCI), is comprised of five neuropsychiatric domains: decreased motivation, affective dysregulation, impulse dyscontrol, social inappropriateness, and abnormal perception/thought content. We investigated (1) if cross-sectional associations of cognitive status with MBI symptoms differ by TBI status and (2) if prospective associations of MBI domain positivity with incident dementia risk differ by TBI status.
View Article and Find Full Text PDFJ Ethn Subst Abuse
January 2025
Lahore School of Behavioural Sciences, The University of Lahore, Lahore, Pakistan.
Background: Substance use disorder profoundly affects not only the individuals with the condition but also their family members, particularly children. The impact on children can be long-lasting, influencing their development and well-being throughout their lives. The study explored the determinants of perceived shame in young adults with paternal substance use disorder in Pakistan.
View Article and Find Full Text PDFFront Robot AI
January 2025
Life- and Neurosciences, Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany.
Biological vision systems simultaneously learn to efficiently encode their visual inputs and to control the movements of their eyes based on the visual input they sample. This autonomous joint learning of visual representations and actions has previously been modeled in the Active Efficient Coding (AEC) framework and implemented using traditional frame-based cameras. However, modern event-based cameras are inspired by the retina and offer advantages in terms of acquisition rate, dynamic range, and power consumption.
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